llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

Jinaai model product

jina-embeddings-v5-omni-nano

jina-embeddings-v5-omni-nano is an embedding model from Jinaai ranked on MTEB.

Updated Sep 8, 2026. Default version: jina-embeddings-v5-omni-nano

LLMBoard Embedding Score62.6jina-embeddings-v5-omni-nano
Coverage90%10 benchmark families
Context window8.2KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

jina-embeddings-v5-omni-nano Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

jina-embeddings-v5-omni-nano LLMBoard score breakdown

jina-embeddings-v5-omni-nano Benchmark Results

Benchmark scores for jina-embeddings-v5-omni-nano.

10 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 Semantic SimilarityScore88.28%Rank06Participants211Percentile97.62%EvidenceAEvaluatedN/A
BenchmarkMIEB English Semantic SimilarityScore54.76%Rank11Participants50Percentile79.59%EvidenceAEvaluatedN/A
BenchmarkViDoRe v3 OverallScore45.56%Rank24Participants40Percentile41.03%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore58.80%Rank33Participants212Percentile84.83%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore87.40%Rank35Participants257Percentile86.72%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore49.23%Rank36Participants241Percentile85.42%EvidenceAEvaluatedN/A
BenchmarkMIEB English ClusteringScore72.28%Rank38Participants49Percentile22.92%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore53.49%Rank42Participants217Percentile81.02%EvidenceAEvaluatedN/A
BenchmarkMIEB English MultimodalScore54.95%Rank45Participants84Percentile46.99%EvidenceAEvaluatedN/A
BenchmarkMIEB English ClassificationScore53.55%Rank47Participants49Percentile4.17%EvidenceAEvaluatedN/A

jina-embeddings-v5-omni-nano Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

jina-embeddings-v5-omni-nano Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

The default version has no current input or output token prices.

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

jina-embeddings-v5-omni-nano Runtime Performance

Provider-specific output speed and catalog latency for jina-embeddings-v5-omni-nano. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

jina-embeddings-v5-omni-nano Specifications

Technical details for the model's default version.

Version
jina-embeddings-v5-omni-nano
Released
Apr 1, 2026
Knowledge cutoff
Unknown
Parameters
986M
Context window
8.2K
Max output
N/A
Inputs
text, image, audio, video
Outputs
embedding
Open weights
Yes
License
cc-by-nc-4.0

jina-embeddings-v5-omni-nano Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

1 row
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
Versionjina-embeddings-v5-omni-nanoReleasedApr 1, 2026LLMBoard62.65Parameters986MContext8.2KMax outputN/AOpen weightsYesLicensecc-by-nc-4.0

Models similar to jina-embeddings-v5-omni-nano

Recommendations prioritize the same model type and family, then the closest LLMBoard score.

#83-1.91
JI

jina-embeddings-v4

Jinaai

60.74 LLMBoard

Details
#52+5.79
JI

jina-embeddings-v3

Jinaai

68.44 LLMBoard

Details
#36+11.28
JI

jina-embeddings-v5-omni-small

Jinaai

73.93 LLMBoard

Details
#19+17.77
JI

jina-embeddings-v5-text-nano

Jinaai

80.42 LLMBoard

Details
#252-18.59
JI

jina-embedding-b-en-v1

Jinaai

44.06 LLMBoard

Details
#258-20.17
JI

jina-clip-v1

Jinaai

42.48 LLMBoard

Details

What is jina-embeddings-v5-omni-nano?

Key information about jina-embeddings-v5-omni-nano and its available data.

jina-embeddings-v5-omni-nano is an embedding model from Jinaai. It is listed as a ranked model on MTEB.

Data as of 2026-09-08.

FAQ

Common questions about jina-embeddings-v5-omni-nano.

When was jina-embeddings-v5-omni-nano released?

jina-embeddings-v5-omni-nano's default version was released on Apr 1, 2026.

How much does jina-embeddings-v5-omni-nano cost?

No official standard PAYG price is currently available for jina-embeddings-v5-omni-nano.

Who created jina-embeddings-v5-omni-nano?

jina-embeddings-v5-omni-nano was created by Jinaai.

What is the context window for jina-embeddings-v5-omni-nano?

The default version has a 8.2K token context window.

Is jina-embeddings-v5-omni-nano open weight?

Yes. The default version is marked as open weight under cc-by-nc-4.0.

How many API providers offer jina-embeddings-v5-omni-nano?

No provider offering is currently linked to the default version.

Browse runtime rankings